Pradhan Cadabam - Co-Founder at Neeva AI

Pradhan Cadabam

Co-Founder at Neeva AI

Mountain View, California, United States

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Summary

🤩

Rockstar

🎓

Top School

Pradhan Cadabam is a seasoned software leader and founder with 11 years of experience building distributed systems and AI-first developer tools. As Co-Founder of Neeva AI and former Technical Lead at LinkedIn, he designs scalable platforms that automate complex workflows—most recently bringing LLMs into browser automation to solve a $60B testing bottleneck. He has a strong track record migrating large-scale systems to the cloud, leading cross-functional teams, and shipping resilient data infrastructure such as contributions to LinkedIn’s Gobblin data ingestion framework. Earlier work as a founding engineer on Amazon WorkDocs demonstrates his product-building chops and includes a patent for cross-device annotation. Based in Bengaluru with an MS in Computer Science from the University of Florida, he blends deep backend engineering with practical AI productization and a penchant for mentoring engineering teams. An interesting detail: his Gobblin contributions improved observability by adding Hadoop cluster and Azkaban flow IDs to metrics, helping trace job performance at scale.

11 years of coding experience

12 years of employment as a software developer

Bachelor of Engineering, Electronics and communication, Bachelor of Engineering, Electronics and communication at National Institute of Engineering

Masters, Computer Science, Masters, Computer Science at University of Florida

Github Skills (10)

javas10

jdbc10

java10

metric9

data-extraction9

hadoop8

apache7

data-ingestion7

management6

replication6

Programming languages (1)

Java

Github contributions (5)

apache/gobblin

Jun 2015 - Jul 2017

A distributed data integration framework that simplifies common aspects of big data integration such as data ingestion, replication, organization and lifecycle management for both streaming and batch data ecosystems.

Role in this project:

Back-end Developer

Contributions:108 commits, 314 PRs, 154 pushes in 2 years 2 months

Contributions summary:Pradhan primarily worked on improving the JDBC Extractor, a core component for data extraction using JDBC protocol. Their contributions focused on removing multi-level data conversion in JdbcExtractor, and they made modifications to the associated unit tests. Furthermore, the user added tags to improve metric reporting. They also contributed to the addition of Hadoop cluster identifier and Azkaban flow ID to the metrics, enhancing the ability to trace and monitor job performance.

datadcosdata-streambig-data-integrationbatch-data

pcadabam/gobblin

Jun 2015 - Dec 2017

Contributions:4 PRs, 542 pushes, 32 branches in 2 years 6 months

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